CALL FOR CONTRIBUTIONS to the Workshop “Challenges in deploying and monitoring machine learning systems”, at NeurIPS virtual conference, on December 9, 2022.
The goal of this event is to bring together people from different communities with the common interest in the Deployment of Machine Learning Systems.
We invite submissions of short papers on machine learning systems, their deployment, monitoring and testing, including:
MLOps for deployed ML systems;
Providing privacy and security on ML Systems;
Ethics, fairness, trust and transparency around deploying ML systems;
Useful tools and programming languages for deploying ML systems;
Deploying reinforcement learning in ML systems;
Continual learning, CI/CD pipelines for ML systems;
Data challenges for deployed ML systems;
Open problems in ML systems; challenges and blockers to the successful deployment of ML systems.
The accepted contributions will be presented as pre-recorded videos and live virtual posters. A small number of authors will be invited to take part in one of the two live virtual panel discussions:
Open problems in ML systems
Security and privacy in ML systems.
All the submitted papers should be in PDF format, with a limit of 4 pages, including figures and tables, excluding references and appendices. Formatting instructions are provided on the NeurIPS website. The workshop allows re-submissions of already published work and double submissions. The workshop is non-archival, but PDFs of accepted papers will be shared on the website.
Authors will be asked to confirm that their submissions accord with the NeurIPS code of conduct.
--> SUBMIT HERE by the 22nd of September <--
Submission deadline: September 22, 2022, AoE
Accept/Reject Notification: October 20, 2022, AoE
Speaker Video Upload Deadline: November 3, 2022, AoE
Workshop date: December 9, 2022
Format: virtual, with pre recorded talks and live panel discussions, Q/As, poster sessions.
Alejandro Saucedo, Director of engineering at Seldon, Chief Scientist at The Institute for Ethical AI, member of ACM and Linux Foundation councils.
Morine Amutorine, Data Analyst at UN Pulse Lab Kampala, fellow at Data Science Africa.
Ivana Dusparic, Assistant Professor at Trinity College Dublin.
Graham Cormode, Research scientist at Facebook, Professor in the Department of Computer Science at the University of Warwick.
Aleksandra Korolova, Assistant Professor of Computer Science at University of Southern California.
Alessandra Tosi, Mind Foundry
Andrei Paleyes, University of Cambridge
Christian Cabrera, University of Cambridge
Fariba Yousefi, University of Sheffield
Stephen Roberts, University of Oxford
Contact: dmml.neurips.2022 [at] protonmail [dot] com